Job Title

Ecolab’s Enterprise Architecture organization is building a team of dynamic and influential thought leaders, representing diverse backgrounds and specific focus areas. The Principal Modern Data Architect role requires experience with design, architecture and implementation of Modern Data and Analytics Platform. Responsibilities include collaboratively developing and publishing reference architectures, analyzing systems and technologies and influencing the implementation Ecolab’s Modern Data Platform Strategy. A person in this role will serve as an advisor and resident expert in building modern analytical applications.Establish and maintain a trusted advisor relationship within Ecolab’s IT, Commercial Digital Solutions, Functions and Businesses you interact withEstablish and maintain close working relationships with teams responsible for delivering solutions to the Ecolab’s businesses and functionsPerform key management and thought leadership in the areas of advanced data techniques, including data modeling, data access, data integration, data visualization, big data solutions, text mining, data discovery, statistical methods, and database designWork with business partners to define ways to leverage data to develop platforms and solutions to drive business growthEngage collaboratively with project teams to support project objectives through the application of sound data architectural principles; support project with knowledge of existing data assets and provide guidance on reusable data structuresShare knowledge of external and internal data capabilities and trends, provide leadership, and facilitate the evaluation of vendors and productsUtilize advanced data analysis, including statistical analysis and data mining techniquesCollaborate with others to set an enterprise data vision with solid recommendations, and work to gain business and IT consensusBasic QualificationsOverall 15+ years of IT Environment Experience.5+ years of experience partnering with business managers to develop technical strategies and architectures to support their objectives5+ years in Azure Data Factory.4+ azure data bricks, azure cosmos db, multi-factor authentication, event hub, azure active directory, logic apps and Snowflake.Hands-on experience with cloud ready data engineering solutions, preferably Azure cloud5+ years of delivering analytics in modern data architecture (Hadoop, Massively Parallel Processing Database Platforms and Semantic Modeling)Demonstrable knowledge of ETL and ELT patterns and when to use either oneExperience in Tool evaluation for Enterprise data platformDemonstrable knowledge of and experience with different scripting languages (python, JavaScript, PIG or object-oriented programming like Java or .NET, Spark Scala or PySpark)Experience in Streaming and building Real time data integration architectureExpertise in creating CICD pipelineData catalog implementation experienceExperience in Data quality automationData security design experiencePreferred QualificationsBachelor’s degree in Computer Science, MIS, related field, or equivalent experienceExperience working with solutions delivery teams using Agile/Scrum ore similar methodologies3+ years of experience designing solutions leveraging Microsoft Cortana Intelligence Suite of Products [Azure SQL, Azure SQL DW, Cosmos DB, HDInsight, DataBricks]Experience with enterprise systems, like CRM, ERP, Field Services Management, Supply Chain solutions, HR systemsAbility to work independently, establishing strategic objectives, project plans, and milestonesExceptional written, verbal & presentation skills